99Acers Property Price Predictor

Dataset statistics

Number of variables	23
Number of observations	3803
Missing cells	6996
Missing cells (%)	8.0%
Duplicate rows	126
Duplicate rows (%)	3.3%
Total size in memory	683.5 KiB
Average record size in memory	184.0 B

Variable types

Categorical	10
Text	3
Numeric	10

Alerts

Dataset has 126 (3.3%) duplicate rows	Duplicates
`price` is highly overall correlated with `property_type` and 3 other fields	High correlation
`area` is highly overall correlated with `built_up_area` and 1 other fields	High correlation
`bedRoom` is highly overall correlated with `property_type` and 5 other fields	High correlation
`bathroom` is highly overall correlated with `property_type` and 5 other fields	High correlation
`super_built_up_area` is highly overall correlated with `price` and 3 other fields	High correlation
`built_up_area` is highly overall correlated with `area`	High correlation
`carpet_area` is highly overall correlated with `area`	High correlation
`servant room` is highly overall correlated with `bedRoom` and 2 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price`	High correlation
`property_type` is highly overall correlated with `price` and 3 other fields	High correlation
`balcony` is highly overall correlated with `bedRoom` and 1 other fields	High correlation
`floorNum` is highly overall correlated with `property_type`	High correlation
`store room` is highly imbalanced (56.2%)	Imbalance
`facing` has 1105 (29.1%) missing values	Missing
`super_built_up_area` has 1888 (49.6%) missing values	Missing
`built_up_area` has 2070 (54.4%) missing values	Missing
`carpet_area` has 1859 (48.9%) missing values	Missing
`area` is highly skewed (γ1 = 30.23273447)	Skewed
`built_up_area` is highly skewed (γ1 = 41.21758008)	Skewed
`carpet_area` is highly skewed (γ1 = 24.7960836)	Skewed
`floorNum` has 134 (3.5%) zeros	Zeros
`luxury_score` has 486 (12.8%) zeros	Zeros

Reproduction

Analysis started	2025-11-26 14:16:20.062429
Analysis finished	2025-11-26 14:17:08.413793
Duration	48.35 seconds
Software version	ydata-profiling vv4.18.0
Download configuration	config.json

property_type
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	29.8 KiB

flat	2943
house	860

Length

Max length	5
Median length	4
Mean length	4.2261373
Min length	4

Characters and Unicode

Total characters	16072
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	house
4th row	flat
5th row	house

Common Values

Value	Count	Frequency (%)
flat	2943	77.4%
house	860	22.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2943	77.4%
house	860	22.6%

Most occurring characters

Value	Count	Frequency (%)
f	2943	18.3%
l	2943	18.3%
a	2943	18.3%
t	2943	18.3%
h	860	5.4%
o	860	5.4%
u	860	5.4%
s	860	5.4%
e	860	5.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	16072	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
f	2943	18.3%
l	2943	18.3%
a	2943	18.3%
t	2943	18.3%
h	860	5.4%
o	860	5.4%
u	860	5.4%
s	860	5.4%
e	860	5.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	16072	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
f	2943	18.3%
l	2943	18.3%
a	2943	18.3%
t	2943	18.3%
h	860	5.4%
o	860	5.4%
u	860	5.4%
s	860	5.4%
e	860	5.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	16072	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
f	2943	18.3%
l	2943	18.3%
a	2943	18.3%
t	2943	18.3%
h	860	5.4%
o	860	5.4%
u	860	5.4%
s	860	5.4%
e	860	5.4%

society
Text

Distinct	676
Distinct (%)	17.8%
Missing	1
Missing (%)	< 0.1%
Memory size	29.8 KiB

Length

Max length	49
Median length	39
Mean length	16.922672
Min length	1

Characters and Unicode

Total characters	64340
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	291 ?
Unique (%)	7.7%

Sample

1st row	dlf the skycourt
2nd row	ss the leaf
3rd row	ansals florence villa
4th row	rof ananda
5th row	emaar mgf marbella

Value	Count	Frequency (%)
independent	491	4.9%
the	362	3.6%
dlf	225	2.2%
park	219	2.2%
city	172	1.7%
global	165	1.6%
signature	161	1.6%
emaar	159	1.6%
m3m	156	1.6%
heights	139	1.4%
Other values (783)	7779	77.6%

Most occurring characters

Value	Count	Frequency (%)
e	6935	10.8%
	6228	9.7%
a	6090	9.5%
r	4355	6.8%
n	4270	6.6%
i	3970	6.2%
t	3851	6.0%
s	3627	5.6%
l	3074	4.8%
o	2867	4.5%
Other values (31)	19073	29.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	64340	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	6935	10.8%
	6228	9.7%
a	6090	9.5%
r	4355	6.8%
n	4270	6.6%
i	3970	6.2%
t	3851	6.0%
s	3627	5.6%
l	3074	4.8%
o	2867	4.5%
Other values (31)	19073	29.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	64340	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	6935	10.8%
	6228	9.7%
a	6090	9.5%
r	4355	6.8%
n	4270	6.6%
i	3970	6.2%
t	3851	6.0%
s	3627	5.6%
l	3074	4.8%
o	2867	4.5%
Other values (31)	19073	29.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	64340	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	6935	10.8%
	6228	9.7%
a	6090	9.5%
r	4355	6.8%
n	4270	6.6%
i	3970	6.2%
t	3851	6.0%
s	3627	5.6%
l	3074	4.8%
o	2867	4.5%
Other values (31)	19073	29.6%

sector
Text

Distinct	131
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Memory size	29.8 KiB

Length

Max length	26
Median length	9
Mean length	9.6463318
Min length	7

Characters and Unicode

Total characters	36685
Distinct characters	34
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	sector 86
2nd row	sector 85
3rd row	sector 57
4th row	sector 95
5th row	sector 66

Value	Count	Frequency (%)
sector	3536	45.2%
road	245	3.1%
sohna	233	3.0%
102	113	1.4%
85	110	1.4%
92	105	1.3%
69	94	1.2%
90	91	1.2%
65	90	1.1%
81	90	1.1%
Other values (121)	3120	39.9%

Most occurring characters

Value	Count	Frequency (%)
o	4098	11.2%
	4024	11.0%
s	3921	10.7%
r	3905	10.6%
e	3715	10.1%
c	3662	10.0%
t	3612	9.8%
1	1120	3.1%
a	916	2.5%
0	825	2.2%
Other values (24)	6887	18.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	36685	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	4098	11.2%
	4024	11.0%
s	3921	10.7%
r	3905	10.6%
e	3715	10.1%
c	3662	10.0%
t	3612	9.8%
1	1120	3.1%
a	916	2.5%
0	825	2.2%
Other values (24)	6887	18.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	36685	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	4098	11.2%
	4024	11.0%
s	3921	10.7%
r	3905	10.6%
e	3715	10.1%
c	3662	10.0%
t	3612	9.8%
1	1120	3.1%
a	916	2.5%
0	825	2.2%
Other values (24)	6887	18.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	36685	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	4098	11.2%
	4024	11.0%
s	3921	10.7%
r	3905	10.6%
e	3715	10.1%
c	3662	10.0%
t	3612	9.8%
1	1120	3.1%
a	916	2.5%
0	825	2.2%
Other values (24)	6887	18.8%

price
Real number (ℝ)

High correlation

Distinct	473
Distinct (%)	12.5%
Missing	18
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.5058045

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.94
median	1.5
Q3	2.7
95-th percentile	8.49
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.76

Descriptive statistics

Standard deviation	2.9501212
Coefficient of variation (CV)	1.177315
Kurtosis	15.257819
Mean	2.5058045
Median Absolute Deviation (MAD)	0.71
Skewness	3.3113347
Sum	9484.47
Variance	8.703215
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	83	2.2%
0.9	68	1.8%
1.5	66	1.7%
1.2	66	1.7%
1.1	66	1.7%
1.4	63	1.7%
1.3	60	1.6%
0.95	58	1.5%
2	56	1.5%
1	51	1.3%
Other values (463)	3148	82.8%

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	9	0.2%
0.21	6	0.2%
0.22	9	0.2%
0.23	1	< 0.1%
0.24	7	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

High correlation

Distinct	2651
Distinct (%)	70.0%
Missing	18
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	13800.168

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	4
5-th percentile	4718.2
Q1	6808
median	9000
Q3	13765
95-th percentile	33308.2
Maximum	600000
Range	599996
Interquartile range (IQR)	6957

Descriptive statistics

Standard deviation	23052.006
Coefficient of variation (CV)	1.6704149
Kurtosis	187.04187
Mean	13800.168
Median Absolute Deviation (MAD)	2758
Skewness	11.43922
Sum	52233635
Variance	5.3139496 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	28	0.7%
8000	19	0.5%
5000	17	0.4%
12500	17	0.4%
11111	14	0.4%
7500	14	0.4%
6666	14	0.4%
22222	13	0.3%
8333	13	0.3%
33333	11	0.3%
Other values (2641)	3625	95.3%
(Missing)	18	0.5%

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

High correlation Skewed

Distinct	1312
Distinct (%)	34.7%
Missing	18
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2845.9995

Minimum	50
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	50
5-th percentile	519
Q1	1220
median	1725
Q3	2295
95-th percentile	4200
Maximum	875000
Range	874950
Interquartile range (IQR)	1075

Descriptive statistics

Standard deviation	22783.349
Coefficient of variation (CV)	8.0053947
Kurtosis	974.19183
Mean	2845.9995
Median Absolute Deviation (MAD)	525
Skewness	30.232734
Sum	10772108
Variance	5.1908099 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	55	1.4%
1350	51	1.3%
1800	48	1.3%
1950	44	1.2%
3240	43	1.1%
2700	39	1.0%
900	39	1.0%
2000	35	0.9%
2400	25	0.7%
2250	25	0.7%
Other values (1302)	3381	88.9%

Value	Count	Frequency (%)
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857	1	< 0.1%
620000	1	< 0.1%
566667	1	< 0.1%
215517	1	< 0.1%
98978	1	< 0.1%
82781	1	< 0.1%
65517	2	0.1%
65261	1	< 0.1%
58228	1	< 0.1%

areaWithType
Text

Distinct	2355
Distinct (%)	61.9%
Missing	0
Missing (%)	0.0%
Memory size	29.8 KiB

Length

Max length	124
Median length	119
Mean length	53.841967
Min length	12

Characters and Unicode

Total characters	204761
Distinct characters	35
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1780 ?
Unique (%)	46.8%

Sample

1st row	Super Built up area 1929(179.21 sq.m.)Built Up area: 1750 sq.ft. (162.58 sq.m.)Carpet area: 1450 sq.ft. (134.71 sq.m.)
2nd row	Super Built up area 1640(152.36 sq.m.)
3rd row	Plot area 300(250.84 sq.m.)
4th row	Carpet area: 34401 (3195.96 sq.m.)
5th row	Plot area 500(418.06 sq.m.)

Value	Count	Frequency (%)
area	5728	18.5%
sq.m	3779	12.2%
up	3102	10.0%
built	2393	7.7%
super	1915	6.2%
sq.ft	1779	5.7%
sq.m.)carpet	1208	3.9%
carpet	732	2.4%
sq.m.)built	707	2.3%
plot	682	2.2%
Other values (2846)	8965	28.9%

Most occurring characters

Value	Count	Frequency (%)
	27187	13.3%
.	20907	10.2%
a	13536	6.6%
r	9723	4.7%
e	9587	4.7%
1	9460	4.6%
s	7747	3.8%
q	7611	3.7%
t	7507	3.7%
p	6961	3.4%
Other values (25)	84535	41.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	204761	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	27187	13.3%
.	20907	10.2%
a	13536	6.6%
r	9723	4.7%
e	9587	4.7%
1	9460	4.6%
s	7747	3.8%
q	7611	3.7%
t	7507	3.7%
p	6961	3.4%
Other values (25)	84535	41.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	204761	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	27187	13.3%
.	20907	10.2%
a	13536	6.6%
r	9723	4.7%
e	9587	4.7%
1	9460	4.6%
s	7747	3.8%
q	7611	3.7%
t	7507	3.7%
p	6961	3.4%
Other values (25)	84535	41.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	204761	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	27187	13.3%
.	20907	10.2%
a	13536	6.6%
r	9723	4.7%
e	9587	4.7%
1	9460	4.6%
s	7747	3.8%
q	7611	3.7%
t	7507	3.7%
p	6961	3.4%
Other values (25)	84535	41.3%

bedRoom
Real number (ℝ)

High correlation

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3381541

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8767336
Coefficient of variation (CV)	0.56220699
Kurtosis	18.610254
Mean	3.3381541
Median Absolute Deviation (MAD)	1
Skewness	3.511539
Sum	12695
Variance	3.5221288
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1545	40.6%
2	993	26.1%
4	676	17.8%
5	213	5.6%
1	130	3.4%
6	75	2.0%
9	41	1.1%
8	30	0.8%
12	28	0.7%
7	28	0.7%
Other values (9)	44	1.2%

Value	Count	Frequency (%)
1	130	3.4%
2	993	26.1%
3	1545	40.6%
4	676	17.8%
5	213	5.6%
6	75	2.0%
7	28	0.7%
8	30	0.8%
9	41	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.7%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ)

High correlation

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4054694

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9304562
Coefficient of variation (CV)	0.56686936
Kurtosis	17.745175
Mean	3.4054694
Median Absolute Deviation (MAD)	1
Skewness	3.2570832
Sum	12951
Variance	3.7266613
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1112	29.2%
2	1105	29.1%
4	839	22.1%
5	299	7.9%
1	160	4.2%
6	120	3.2%
7	41	1.1%
9	41	1.1%
8	26	0.7%
12	22	0.6%
Other values (9)	38	1.0%

Value	Count	Frequency (%)
1	160	4.2%
2	1105	29.1%
3	1112	29.2%
4	839	22.1%
5	299	7.9%
6	120	3.2%
7	41	1.1%
8	26	0.7%
9	41	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

High correlation

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	29.8 KiB

3+	1202
3	1110
2	925
1	376
0	190

Length

Max length	2
Median length	1
Mean length	1.3160663
Min length	1

Characters and Unicode

Total characters	5005
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	3
3rd row	2
4th row	1
5th row	3+

Common Values

Value	Count	Frequency (%)
3+	1202	31.6%
3	1110	29.2%
2	925	24.3%
1	376	9.9%
0	190	5.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2312	60.8%
2	925	24.3%
1	376	9.9%
0	190	5.0%

Most occurring characters

Value	Count	Frequency (%)
3	2312	46.2%
+	1202	24.0%
2	925	18.5%
1	376	7.5%
0	190	3.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5005	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	2312	46.2%
+	1202	24.0%
2	925	18.5%
1	376	7.5%
0	190	3.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5005	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	2312	46.2%
+	1202	24.0%
2	925	18.5%
1	376	7.5%
0	190	3.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5005	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	2312	46.2%
+	1202	24.0%
2	925	18.5%
1	376	7.5%
0	190	3.8%

floorNum
Real number (ℝ)

High correlation Zeros

Distinct	43
Distinct (%)	1.1%
Missing	19
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.8102537

Minimum	0
Maximum	51
Zeros	134
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	18
Maximum	51
Range	51
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.0275551
Coefficient of variation (CV)	0.88507056
Kurtosis	4.5493229
Mean	6.8102537
Median Absolute Deviation (MAD)	3
Skewness	1.6987333
Sum	25770
Variance	36.33142
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	513	13.5%
2	506	13.3%
1	365	9.6%
4	328	8.6%
8	197	5.2%
6	187	4.9%
10	186	4.9%
7	183	4.8%
5	177	4.7%
9	170	4.5%
Other values (33)	972	25.6%

Value	Count	Frequency (%)
0	134	3.5%
1	365	9.6%
2	506	13.3%
3	513	13.5%
4	328	8.6%
5	177	4.7%
6	187	4.9%
7	183	4.8%
8	197	5.2%
9	170	4.5%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	2	0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	4	0.1%

facing
Categorical

Missing

Distinct	8
Distinct (%)	0.3%
Missing	1105
Missing (%)	29.1%
Memory size	29.8 KiB

East	642
North-East	639
North	398
West	255
South	233
Other values (3)	531

Length

Max length	10
Median length	5
Mean length	6.8358043
Min length	4

Characters and Unicode

Total characters	18443
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	North
2nd row	South
3rd row	North
4th row	East
5th row	North-West

Common Values

Value	Count	Frequency (%)
East	642	16.9%
North-East	639	16.8%
North	398	10.5%
West	255	6.7%
South	233	6.1%
North-West	200	5.3%
South-East	174	4.6%
South-West	157	4.1%
(Missing)	1105	29.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
east	642	23.8%
north-east	639	23.7%
north	398	14.8%
west	255	9.5%
south	233	8.6%
north-west	200	7.4%
south-east	174	6.4%
south-west	157	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3868	21.0%
s	2067	11.2%
o	1801	9.8%
h	1801	9.8%
E	1455	7.9%
a	1455	7.9%
N	1237	6.7%
r	1237	6.7%
-	1170	6.3%
W	612	3.3%
Other values (3)	1740	9.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18443	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	3868	21.0%
s	2067	11.2%
o	1801	9.8%
h	1801	9.8%
E	1455	7.9%
a	1455	7.9%
N	1237	6.7%
r	1237	6.7%
-	1170	6.3%
W	612	3.3%
Other values (3)	1740	9.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18443	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	3868	21.0%
s	2067	11.2%
o	1801	9.8%
h	1801	9.8%
E	1455	7.9%
a	1455	7.9%
N	1237	6.7%
r	1237	6.7%
-	1170	6.3%
W	612	3.3%
Other values (3)	1740	9.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18443	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	3868	21.0%
s	2067	11.2%
o	1801	9.8%
h	1801	9.8%
E	1455	7.9%
a	1455	7.9%
N	1237	6.7%
r	1237	6.7%
-	1170	6.3%
W	612	3.3%
Other values (3)	1740	9.4%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	29.8 KiB

Relatively New	1676
New Property	626
Moderately Old	575
Undefined	484
Old Property	310

Length

Max length	18
Median length	14
Mean length	13.010255
Min length	9

Characters and Unicode

Total characters	49478
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Relatively New
2nd row	Relatively New
3rd row	Old Property
4th row	Relatively New
5th row	Moderately Old

Common Values

Value	Count	Frequency (%)
Relatively New	1676	44.1%
New Property	626	16.5%
Moderately Old	575	15.1%
Undefined	484	12.7%
Old Property	310	8.2%
Under Construction	132	3.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2302	32.3%
relatively	1676	23.5%
property	936	13.1%
old	885	12.4%
moderately	575	8.1%
undefined	484	6.8%
under	132	1.9%
construction	132	1.9%

Most occurring characters

Value	Count	Frequency (%)
e	8840	17.9%
l	4812	9.7%
t	3451	7.0%
	3319	6.7%
y	3187	6.4%
r	2711	5.5%
d	2560	5.2%
N	2302	4.7%
w	2302	4.7%
i	2292	4.6%
Other values (15)	13702	27.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	49478	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	8840	17.9%
l	4812	9.7%
t	3451	7.0%
	3319	6.7%
y	3187	6.4%
r	2711	5.5%
d	2560	5.2%
N	2302	4.7%
w	2302	4.7%
i	2292	4.6%
Other values (15)	13702	27.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	49478	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	8840	17.9%
l	4812	9.7%
t	3451	7.0%
	3319	6.7%
y	3187	6.4%
r	2711	5.5%
d	2560	5.2%
N	2302	4.7%
w	2302	4.7%
i	2292	4.6%
Other values (15)	13702	27.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	49478	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	8840	17.9%
l	4812	9.7%
t	3451	7.0%
	3319	6.7%
y	3187	6.4%
r	2711	5.5%
d	2560	5.2%
N	2302	4.7%
w	2302	4.7%
i	2292	4.6%
Other values (15)	13702	27.7%

super_built_up_area
Real number (ℝ)

High correlation Missing

Distinct	593
Distinct (%)	31.0%
Missing	1888
Missing (%)	49.6%
Infinite	0
Infinite (%)	0.0%
Mean	1921.6583

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	89
5-th percentile	761.9
Q1	1457
median	1828
Q3	2215
95-th percentile	3187.1
Maximum	10000
Range	9911
Interquartile range (IQR)	758

Descriptive statistics

Standard deviation	767.16017
Coefficient of variation (CV)	0.39921779
Kurtosis	10.083066
Mean	1921.6583
Median Absolute Deviation (MAD)	372
Skewness	1.8232285
Sum	3679975.6
Variance	588534.73
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1950	38	1.0%
1650	38	1.0%
2000	26	0.7%
1578	25	0.7%
2150	23	0.6%
1640	22	0.6%
2408	20	0.5%
1350	19	0.5%
1900	19	0.5%
1930	18	0.5%
Other values (583)	1667	43.8%
(Missing)	1888	49.6%

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	2	0.1%
4848	2	0.1%

built_up_area
Real number (ℝ)

High correlation Missing Skewed

Distinct	644
Distinct (%)	37.2%
Missing	2070
Missing (%)	54.4%
Infinite	0
Infinite (%)	0.0%
Mean	2360.2414

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	2
5-th percentile	246.4
Q1	1100
median	1650
Q3	2399
95-th percentile	4662
Maximum	737147
Range	737145
Interquartile range (IQR)	1299

Descriptive statistics

Standard deviation	17719.603
Coefficient of variation (CV)	7.5075385
Kurtosis	1710.1077
Mean	2360.2414
Median Absolute Deviation (MAD)	642
Skewness	41.21758
Sum	4090298.4
Variance	3.1398434 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	41	1.1%
3240	37	1.0%
1900	34	0.9%
1350	34	0.9%
2700	33	0.9%
900	28	0.7%
1600	26	0.7%
1300	25	0.7%
2000	25	0.7%
1700	23	0.6%
Other values (634)	1427	37.5%
(Missing)	2070	54.4%

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
50	3	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	5	0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
13500	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	7	0.2%
8775	1	< 0.1%
8286	1	< 0.1%
8067.8	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%

carpet_area
Real number (ℝ)

High correlation Missing Skewed

Distinct	733
Distinct (%)	37.7%
Missing	1859
Missing (%)	48.9%
Infinite	0
Infinite (%)	0.0%
Mean	2483.4669

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	15
5-th percentile	348.3
Q1	824
median	1294
Q3	1786.25
95-th percentile	2945.8
Maximum	607936
Range	607921
Interquartile range (IQR)	962.25

Descriptive statistics

Standard deviation	22375.239
Coefficient of variation (CV)	9.0096787
Kurtosis	627.83936
Mean	2483.4669
Median Absolute Deviation (MAD)	472
Skewness	24.796084
Sum	4827859.7
Variance	5.0065133 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1800	36	0.9%
1600	36	0.9%
1200	32	0.8%
1500	30	0.8%
1650	28	0.7%
1350	28	0.7%
1300	23	0.6%
1450	23	0.6%
1000	22	0.6%
Other values (723)	1644	43.2%
(Missing)	1859	48.9%

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	2	0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	29.8 KiB

0	3082
1	721

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3803
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	3082	81.0%
1	721	19.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3082	81.0%
1	721	19.0%

Most occurring characters

Value	Count	Frequency (%)
0	3082	81.0%
1	721	19.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3803	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3082	81.0%
1	721	19.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3803	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3082	81.0%
1	721	19.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3803	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3082	81.0%
1	721	19.0%

servant room
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	29.8 KiB

0	2446
1	1357

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3803
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2446	64.3%
1	1357	35.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2446	64.3%
1	1357	35.7%

Most occurring characters

Value	Count	Frequency (%)
0	2446	64.3%
1	1357	35.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3803	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2446	64.3%
1	1357	35.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3803	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2446	64.3%
1	1357	35.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3803	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2446	64.3%
1	1357	35.7%

store room
Categorical

Imbalance

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	29.8 KiB

0	3459
1	344

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3803
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	3459	91.0%
1	344	9.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3459	91.0%
1	344	9.0%

Most occurring characters

Value	Count	Frequency (%)
0	3459	91.0%
1	344	9.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3803	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3459	91.0%
1	344	9.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3803	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3459	91.0%
1	344	9.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3803	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3459	91.0%
1	344	9.0%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	29.8 KiB

0	3140
1	663

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3803
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	3140	82.6%
1	663	17.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3140	82.6%
1	663	17.4%

Most occurring characters

Value	Count	Frequency (%)
0	3140	82.6%
1	663	17.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3803	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3140	82.6%
1	663	17.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3803	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3140	82.6%
1	663	17.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3803	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3140	82.6%
1	663	17.4%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	29.8 KiB

0	3382
1	421

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3803
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3382	88.9%
1	421	11.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3382	88.9%
1	421	11.1%

Most occurring characters

Value	Count	Frequency (%)
0	3382	88.9%
1	421	11.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3803	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3382	88.9%
1	421	11.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3803	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3382	88.9%
1	421	11.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3803	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3382	88.9%
1	421	11.1%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	29.8 KiB

0	2501
2	1081
1	221

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3803
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	0
5th row	2

Common Values

Value	Count	Frequency (%)
0	2501	65.8%
2	1081	28.4%
1	221	5.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2501	65.8%
2	1081	28.4%
1	221	5.8%

Most occurring characters

Value	Count	Frequency (%)
0	2501	65.8%
2	1081	28.4%
1	221	5.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3803	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2501	65.8%
2	1081	28.4%
1	221	5.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3803	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2501	65.8%
2	1081	28.4%
1	221	5.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3803	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2501	65.8%
2	1081	28.4%
1	221	5.8%

luxury_score
Real number (ℝ)

Zeros

Distinct	161
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.947936

Minimum	0
Maximum	174
Zeros	486
Zeros (%)	12.8%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	58
Q3	109
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	78

Descriptive statistics

Standard deviation	52.821789
Coefficient of variation (CV)	0.74451481
Kurtosis	-0.85533655
Mean	70.947936
Median Absolute Deviation (MAD)	37
Skewness	0.47028839
Sum	269815
Variance	2790.1414
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	486	12.8%
49	353	9.3%
174	196	5.2%
44	62	1.6%
38	58	1.5%
72	56	1.5%
165	55	1.4%
60	50	1.3%
37	49	1.3%
42	46	1.2%
Other values (151)	2392	62.9%

Value	Count	Frequency (%)
0	486	12.8%
5	6	0.2%
6	6	0.2%
7	43	1.1%
8	30	0.8%
9	9	0.2%
12	7	0.2%
13	10	0.3%
14	12	0.3%
15	43	1.1%

Value	Count	Frequency (%)
174	196	5.2%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	11	0.3%
165	55	1.4%
161	3	0.1%
160	28	0.7%
159	23	0.6%
158	34	0.9%

	price	price_per_sqft	area	bedRoom	bathroom	floorNum	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	others	furnishing_type	luxury_score
price	1.000	0.397	0.020	0.525	0.591	-0.091	0.771	0.024	-0.010	0.256	0.400	0.306	0.341	-0.006	0.237	0.097
price_per_sqft	0.397	1.000	-0.027	0.313	0.294	-0.110	0.278	-0.021	-0.036	0.094	0.101	0.086	0.121	0.008	0.093	-0.044
area	0.020	-0.027	1.000	0.007	0.008	-0.015	0.969	0.965	0.993	0.018	0.002	0.003	0.004	0.023	0.001	-0.007
bedRoom	0.525	0.313	0.007	1.000	0.908	-0.130	0.736	-0.000	-0.018	0.138	0.282	0.183	0.274	0.070	0.186	-0.015
bathroom	0.591	0.294	0.008	0.908	1.000	-0.069	0.744	0.006	-0.015	0.162	0.415	0.197	0.286	0.063	0.236	0.100
floorNum	-0.091	-0.110	-0.015	-0.130	-0.069	1.000	0.157	0.010	-0.028	-0.056	0.095	-0.089	-0.062	-0.007	0.031	0.173
super_built_up_area	0.771	0.278	0.969	0.736	0.744	0.157	1.000	0.955	0.924	0.031	0.558	0.050	0.142	-0.007	0.156	0.211
built_up_area	0.024	-0.021	0.965	-0.000	0.006	0.010	0.955	1.000	0.972	0.003	0.009	0.008	0.006	-0.010	0.018	0.006
carpet_area	-0.010	-0.036	0.993	-0.018	-0.015	-0.028	0.924	0.972	1.000	0.025	-0.017	-0.009	-0.012	0.032	-0.028	-0.012
study room	0.256	0.094	0.018	0.138	0.162	-0.056	0.031	0.003	0.025	1.000	0.183	0.224	0.315	0.037	0.128	0.151
servant room	0.400	0.101	0.002	0.282	0.415	0.095	0.558	0.009	-0.017	0.183	1.000	0.163	0.252	-0.009	0.260	0.335
store room	0.306	0.086	0.003	0.183	0.197	-0.089	0.050	0.008	-0.009	0.224	0.163	1.000	0.307	-0.105	0.162	0.186
pooja room	0.341	0.121	0.004	0.274	0.286	-0.062	0.142	0.006	-0.012	0.315	0.252	0.307	1.000	0.039	0.209	0.178
others	-0.006	0.008	0.023	0.070	0.063	-0.007	-0.007	-0.010	0.032	0.037	-0.009	-0.105	0.039	1.000	0.039	-0.059
furnishing_type	0.237	0.093	0.001	0.186	0.236	0.031	0.156	0.018	-0.028	0.128	0.260	0.162	0.209	0.039	1.000	0.328
luxury_score	0.097	-0.044	-0.007	-0.015	0.100	0.173	0.211	0.006	-0.012	0.151	0.335	0.186	0.178	-0.059	0.328	1.000

	price	price_per_sqft	area	bedRoom	bathroom	floorNum	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	others	furnishing_type	luxury_score
price	1.000	0.743	0.745	0.683	0.721	0.003	0.774	0.604	0.622	0.196	0.510	0.241	0.268	-0.005	0.298	0.217
price_per_sqft	0.743	1.000	0.206	0.411	0.406	-0.120	0.286	0.129	0.143	0.158	0.246	0.209	0.198	-0.027	0.229	0.057
area	0.745	0.206	1.000	0.631	0.692	0.115	0.949	0.837	0.806	0.154	0.561	0.168	0.224	0.025	0.216	0.259
bedRoom	0.683	0.411	0.631	1.000	0.863	-0.100	0.802	0.385	0.577	0.116	0.430	0.201	0.297	0.036	0.212	0.062
bathroom	0.721	0.406	0.692	0.863	1.000	-0.006	0.822	0.468	0.607	0.142	0.564	0.193	0.283	0.037	0.256	0.181
floorNum	0.003	-0.120	0.115	-0.100	-0.006	1.000	0.155	0.088	0.151	-0.048	0.120	-0.083	-0.066	0.002	0.046	0.223
super_built_up_area	0.774	0.286	0.949	0.802	0.822	0.155	1.000	0.927	0.895	-0.018	0.660	0.034	0.110	-0.019	0.165	0.227
built_up_area	0.604	0.129	0.837	0.385	0.468	0.088	0.927	1.000	0.968	0.184	0.418	0.182	0.237	-0.008	0.191	0.290
carpet_area	0.622	0.143	0.806	0.577	0.607	0.151	0.895	0.968	1.000	0.067	0.478	0.044	0.113	0.012	0.188	0.236
study room	0.196	0.158	0.154	0.116	0.142	-0.048	-0.018	0.184	0.067	1.000	0.183	0.224	0.315	0.037	0.134	0.159
servant room	0.510	0.246	0.561	0.430	0.564	0.120	0.660	0.418	0.478	0.183	1.000	0.163	0.252	-0.009	0.267	0.331
store room	0.241	0.209	0.168	0.201	0.193	-0.083	0.034	0.182	0.044	0.224	0.163	1.000	0.307	-0.105	0.164	0.186
pooja room	0.268	0.198	0.224	0.297	0.283	-0.066	0.110	0.237	0.113	0.315	0.252	0.307	1.000	0.039	0.214	0.175
others	-0.005	-0.027	0.025	0.036	0.037	0.002	-0.019	-0.008	0.012	0.037	-0.009	-0.105	0.039	1.000	0.043	-0.054
furnishing_type	0.298	0.229	0.216	0.212	0.256	0.046	0.165	0.191	0.188	0.134	0.267	0.164	0.214	0.043	1.000	0.321
luxury_score	0.217	0.057	0.259	0.062	0.181	0.223	0.227	0.290	0.236	0.159	0.331	0.186	0.175	-0.054	0.321	1.000

	property_type	price	price_per_sqft	area	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	others	furnishing_type	luxury_score
property_type	1.000	0.694	0.265	0.040	0.791	0.605	0.172	0.614	0.122	0.480	NaN	0.000	0.000	0.200	0.109	0.371	0.388	0.037	0.049	0.414
price	0.694	1.000	0.450	0.175	0.616	0.651	0.316	0.248	0.046	0.188	0.753	0.000	0.000	0.316	0.479	0.391	0.435	0.043	0.280	0.174
price_per_sqft	0.265	0.450	1.000	0.000	0.257	0.240	0.054	0.000	0.000	0.085	NaN	0.000	0.000	0.039	0.055	0.000	0.059	0.047	0.033	0.108
area	0.040	0.175	0.000	1.000	0.000	0.076	0.016	0.000	0.049	0.000	NaN	1.000	0.982	0.026	0.021	0.054	0.052	0.058	0.100	0.000
bedRoom	0.791	0.616	0.257	0.000	1.000	0.971	0.503	0.290	0.100	0.268	0.600	0.000	0.000	0.220	0.577	0.282	0.398	0.097	0.318	0.267
bathroom	0.605	0.651	0.240	0.076	0.971	1.000	0.548	0.214	0.095	0.232	0.750	0.000	0.000	0.234	0.672	0.281	0.402	0.092	0.345	0.253
balcony	0.172	0.316	0.054	0.016	0.503	0.548	1.000	0.187	0.023	0.326	0.460	0.000	0.031	0.149	0.361	0.117	0.159	0.066	0.233	0.487
floorNum	0.614	0.248	0.000	0.000	0.290	0.214	0.187	1.000	0.000	0.228	0.157	0.000	0.000	0.102	0.104	0.142	0.131	0.037	0.044	0.253
facing	0.122	0.046	0.000	0.049	0.100	0.095	0.023	0.000	1.000	0.166	0.000	NaN	0.000	0.000	0.057	0.044	0.037	0.000	0.080	0.133
agePossession	0.480	0.188	0.085	0.000	0.268	0.232	0.326	0.228	0.166	1.000	0.145	0.000	0.000	0.158	0.401	0.200	0.260	0.143	0.470	0.403
super_built_up_area	NaN	0.753	NaN	NaN	0.600	0.750	0.460	0.157	0.000	0.145	1.000	NaN	NaN	0.155	0.764	0.058	0.205	0.110	0.207	0.209
built_up_area	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	NaN	0.000	NaN	1.000	NaN	0.000	0.000	0.000	0.000	0.000	0.051	0.000
carpet_area	0.000	0.000	0.000	0.982	0.000	0.000	0.031	0.000	0.000	0.000	NaN	NaN	1.000	0.006	0.000	0.000	0.000	0.025	0.000	0.000
study room	0.200	0.316	0.039	0.026	0.220	0.234	0.149	0.102	0.000	0.158	0.155	0.000	0.006	1.000	0.282	0.342	0.473	0.050	0.086	0.242
servant room	0.109	0.479	0.055	0.021	0.577	0.672	0.361	0.104	0.057	0.401	0.764	0.000	0.000	0.282	1.000	0.251	0.384	0.000	0.167	0.452
store room	0.371	0.391	0.000	0.054	0.282	0.281	0.117	0.142	0.044	0.200	0.058	0.000	0.000	0.342	0.251	1.000	0.461	0.161	0.098	0.297
pooja room	0.388	0.435	0.059	0.052	0.398	0.402	0.159	0.131	0.037	0.260	0.205	0.000	0.000	0.473	0.384	0.461	1.000	0.054	0.132	0.249
others	0.037	0.043	0.047	0.058	0.097	0.092	0.066	0.037	0.000	0.143	0.110	0.000	0.025	0.050	0.000	0.161	0.054	1.000	0.033	0.226
furnishing_type	0.049	0.280	0.033	0.100	0.318	0.345	0.233	0.044	0.080	0.470	0.207	0.051	0.000	0.086	0.167	0.098	0.132	0.033	1.000	0.377
luxury_score	0.414	0.174	0.108	0.000	0.267	0.253	0.487	0.253	0.133	0.403	0.209	0.000	0.000	0.242	0.452	0.297	0.249	0.226	0.377	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	others	furnishing_type	luxury_score
0	flat	dlf the skycourt	sector 86	1.58	8190.0	1929.0	Super Built up area 1929(179.21 sq.m.)Built Up area: 1750 sq.ft. (162.58 sq.m.)Carpet area: 1450 sq.ft. (134.71 sq.m.)	3	3	1	16.0	North	Relatively New	1929.0	1750.0	1450.0	0	0	0	1	0	2	152
1	flat	ss the leaf	sector 85	1.20	7317.0	1640.0	Super Built up area 1640(152.36 sq.m.)	2	2	3	12.0	South	Relatively New	1640.0	NaN	NaN	0	0	0	0	0	2	157
2	house	ansals florence villa	sector 57	6.00	22222.0	2700.0	Plot area 300(250.84 sq.m.)	4	5	2	2.0	NaN	Old Property	NaN	2700.0	NaN	0	1	0	1	0	2	20
3	flat	rof ananda	sector 95	0.21	61.0	34426.0	Carpet area: 34401 (3195.96 sq.m.)	1	1	1	13.0	North	Relatively New	NaN	NaN	34401.0	0	0	0	0	0	0	68
4	house	emaar mgf marbella	sector 66	NaN	NaN	NaN	Plot area 500(418.06 sq.m.)	5	7	3+	2.0	NaN	Moderately Old	NaN	500.0	NaN	1	1	1	1	0	2	70
5	flat	vatika the seven lamps	sector 82	0.86	6022.0	1428.0	Super Built up area 1430(132.85 sq.m.)	2	2	2	12.0	East	Relatively New	1430.0	NaN	NaN	1	0	0	0	0	2	135
6	house	independent	sector 7	0.45	5000.0	900.0	Plot area 900(83.61 sq.m.)	3	2	1	2.0	North-West	Old Property	NaN	900.0	NaN	0	0	0	0	1	0	12
7	flat	shree vardhman flora	sector 90	0.70	5177.0	1352.0	Carpet area: 1352 (125.6 sq.m.)	2	3	2	7.0	North	Relatively New	NaN	NaN	1352.0	1	0	0	0	0	2	49
8	flat	raheja atharva	sector 109	1.60	5319.0	3008.0	Built Up area: 3008 (279.45 sq.m.)	4	1	0	0.0	NaN	New Property	NaN	3008.0	NaN	0	0	0	0	0	0	0
9	flat	suncity vatsal valley	gwal pahari	1.38	12212.0	1130.0	Built Up area: 1130 (104.98 sq.m.)	2	2	2	4.0	East	Under Construction	NaN	1130.0	NaN	0	0	0	0	0	2	133

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	furnishing_type	luxury_score
3793	flat	brisk lumbini terrace homes	sector 109	1.38	6338.0	2177.0	Carpet area: 2177 (202.25 sq.m.)	3	3	1	4.0	NaN	Moderately Old	NaN	NaN	2177.0	0	0	0	0	0	20
3794	flat	godrej summit	sector 104	0.85	5878.0	1446.0	Super Built up area 1446(134.34 sq.m.)Built Up area: 1269 sq.ft. (117.89 sq.m.)Carpet area: 777 sq.ft. (72.19 sq.m.)	2	2	3+	10.0	East	Relatively New	1446.0	1269.0	777.0	1	0	0	0	0	79
3795	flat	signature global the millennia 3	sector 37d	0.45	7627.0	590.0	Carpet area: 590 (54.81 sq.m.)	2	3	2	8.0	NaN	Undefined	NaN	NaN	590.0	0	0	0	0	0	8
3796	flat	dlf park place	sector 54	4.85	25866.0	1875.0	Super Built up area 1875(174.19 sq.m.)	3	4	3+	25.0	South-East	Relatively New	1875.0	NaN	NaN	0	1	0	0	2	26
3797	flat	experion the heartsong	sector 108	2.00	7196.0	2779.0	Super Built up area 2779(258.18 sq.m.)Built Up area: 2500 sq.ft. (232.26 sq.m.)Carpet area: 2300 sq.ft. (213.68 sq.m.)	4	4	3+	10.0	North-East	Relatively New	2779.0	2500.0	2300.0	0	1	0	1	2	174
3798	flat	dlf the primus	sector 82a	2.25	10714.0	2100.0	Carpet area: 2100 (195.1 sq.m.)	3	3	3+	29.0	East	Relatively New	NaN	NaN	2100.0	0	1	0	0	1	72
3799	house	bestech park view aindependentda	sector 81	4.35	7937.0	5481.0	Plot area 5480(509.11 sq.m.)	4	4	3	2.0	North	Relatively New	NaN	5480.0	NaN	0	1	1	0	0	51
3800	flat	shree arihant apartment	sector 54	1.55	8611.0	1800.0	Super Built up area 2000(185.81 sq.m.)Built Up area: 1900 sq.ft. (176.52 sq.m.)Carpet area: 1800 sq.ft. (167.23 sq.m.)	3	3	3	3.0	North-East	Moderately Old	2000.0	1900.0	1800.0	0	1	0	0	2	109
3801	flat	aipl zen residences	sector 70a	1.34	10276.0	1304.0	Super Built up area 1304(121.15 sq.m.)	2	2	3+	17.0	East	New Property	1304.0	NaN	NaN	0	0	0	0	2	110
3802	flat	central park 2 bellevue	sector 48	5.00	11627.0	4300.0	Carpet area: 4300 (399.48 sq.m.)	3	4	3	14.0	North-East	Moderately Old	NaN	NaN	4300.0	0	0	0	0	0	82

Most frequently occurring

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	others	furnishing_type	luxury_score	# duplicates
0	flat	ambience caitriona	sector 24	14.00	200000.0	700.0	Built Up area: 700 (65.03 sq.m.)	4	5	3	3.0	East	Undefined	NaN	700.0	NaN	0	0	0	0	0	2
1	flat	ansal heights 86	sector 86	0.90	5325.0	1690.0	Built Up area: 1690 (157.01 sq.m.)	3	3	2	10.0	NaN	New Property	NaN	1690.0	NaN	0	0	0	0	29	2
2	flat	ansal heights 86	sector 86	1.30	4666.0	2786.0	Super Built up area 2786(258.83 sq.m.)	4	6	2	11.0	East	New Property	2786.0	NaN	NaN	0	1	1	0	86	2
3	flat	ansal housing highland park	sector 103	0.88	6429.0	1369.0	Super Built up area 1361(126.44 sq.m.)	2	2	3	3.0	NaN	New Property	1361.0	NaN	NaN	0	0	0	0	52	2
4	flat	antriksh heights	sector 84	0.85	5556.0	1530.0	Super Built up area 1350(125.42 sq.m.)	2	2	3	10.0	North-West	New Property	1350.0	NaN	NaN	1	0	1	0	24	2
5	flat	apartment	sector 92	0.75	4687.0	1600.0	Carpet area: 1600 (148.64 sq.m.)	3	4	3	2.0	East	Moderately Old	NaN	NaN	1600.0	1	0	0	0	113	2
6	flat	ashiana anmol	sohna road	0.88	11125.0	791.0	Super Built up area 1275(118.45 sq.m.)Carpet area: 791 sq.ft. (73.49 sq.m.)	2	2	2	13.0	East	Relatively New	1275.0	NaN	791.0	0	0	0	1	127	2
7	flat	assotech blith	sector 99	0.92	6739.0	1365.0	Super Built up area 1365(126.81 sq.m.)	2	2	3+	22.0	NaN	Under Construction	1365.0	NaN	NaN	0	0	0	0	56	2
8	flat	assotech blith	sector 99	1.90	6702.0	2835.0	Built Up area: 2835 (263.38 sq.m.)	4	4	3+	2.0	North-East	Undefined	NaN	2835.0	NaN	0	0	0	0	51	2
9	flat	ats tourmaline	sector 109	2.30	8897.0	2585.0	Super Built up area 2585(240.15 sq.m.)	3	4	3+	10.0	East	New Property	2585.0	NaN	NaN	0	1	1	0	74	2

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script